4 papers
A data-driven approach for topology correction in low voltage distribution networks with PVs
Dong Liu, Sander Timmerman, Yu Xiang +3
Most existing phase balancing and topology reconfiguration problems are formulated as mixed-integer optimization problems that depend on network topologies~\cite{10098964,11017695,…
Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
Xu Yang, Chenhui Lin, Xiang Ma +4
The growing integration of distributed photovoltaics (PVs) into active distribution networks (ADNs) has exacerbated operational challenges, making it imperative to coordinate diver…
Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks
Dong Liu, Juan S. Giraldo, Peter Palensky +1
Centralised reinforcement learning (RL) for voltage magnitude regulation in distribution networks typically involves numerous agent-environment interactions and power flow (PF) cal…
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
Dong Liu, Juan S. Giraldo, Peter Palensky +1
Model-free power flow calculation, driven by the rise of smart meter (SM) data and the lack of network topology, often relies on artificial intelligence neural networks (ANNs). How…